Definición de Dependencia Funcional (Aproximación Bases de Datos Relacionales) en términos de Dependencia de Conocimiento (Aproximación 'Rogh Sets'). - María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; C. Pérez-Llera (JIDBD, 1996)

Integrating KDD Algorithms and RDBMS Code. - María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; José María Peña Sánchez; Borja Pardo Pastrana (Rough Sets and Current Trends in Computing, 1998)

A Model of RSDM Implementation. - María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; Anita Wasilewska (Rough Sets and Current Trends in Computing, 1998)

Integración del proceso de inferencia de conocimiento con los sistemas de bases de datos relacionales: formalización matemática de la fase de análisis. - Ernestina Menasalvas Ruiz (1998)

Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts. - María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; José María Peña Sánchez; Socorro Millán; Eloina Mesa (PKDD, 1999)

Using the Apriori Algorithm to Improve Rough Sets Results. - María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; José María Peña Sánchez; Juan Francisco Martínez Sarrías; Socorro Millán (Rough Sets and Current Trends in Computing, 2000)

Multivalued Dependencies as Inference Rules on a Deductive Process under a Relational Data Model Set-theory Approach. - Socorro Millán; María C. Fernández-Baizán; Ernestina Menasalvas Ruiz; Rafael Portaencasa (Comput. Artif. Intell., 2000)

Data mining - a semantic model. - Covadonga Fernández 001; Juan F. Martínez; Anita Wasilewska; Mike Hadjimichael; Ernestina Menasalvas (FUZZ-IEEE, 2002)

Automatic implementation system of security protocols based on formal description techniques. - Luis Mengual; Nicolás Barcia; Ernesto Jiménez; Ernestina Menasalvas Ruiz; Julio Setién; Javier Yágüez (ISCC, 2002)

Algoritmo de evaluación de los logros de un sitio web mediante el cómputo del valor de las sesiones de usuarios. - Esther Hochsztain; Socorro Millán; Ernestina Menasalvas Ruiz (JISBD, 2002)

A Granular Approach for Analyzing the Degree of Affability of a Web Site. - Esther Hochsztain; Socorro Millán; Ernestina Menasalvas Ruiz (Rough Sets and Current Trends in Computing, 2002)

Parallel Data Mining Experimentation Using Flexible Configurations. - José M. Peña 002; F. Javier Crespo; Ernestina Menasalvas Ruiz; Víctor Robles (Rough Sets and Current Trends in Computing, 2002)

Extension of Relational Management Systems with Data Mining Capabilities. - Juan Francisco Martínez Sarrías; Anita Wasilewska; Michael Hadjimichael; Covadonga Fernández 001; Ernestina Menasalvas Ruiz (Rough Sets and Current Trends in Computing, 2002)

A Framework to Integrate Business Goals in Web Usage Mining. - Esther Hochsztain; Socorro Millán; B. Pardo; José M. Peña 002; Ernestina Menasalvas Ruiz (AWIC, 2003)

Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; María S. Pérez 001; Ernestina Menasalvas Ruiz; Vanessa Herves (EPIA, 2003)

An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals. - Ernestina Menasalvas Ruiz; Socorro Millán; María S. Pérez 001; Esther Hochsztain; Andrómaca Tasistro (EWMF, 2003)

MOIRAE - An Innovative Component Architecture with Distributed Control Features. - Katia Leal Algara; José Herrera; José M. Peña 002; Ernestina Menasalvas Ruiz (International Conference on Computational Science, 2003)

Interval Estimation Naïve Bayes. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; Ernestina Menasalvas Ruiz; María S. Pérez 001 (IDA, 2003)

DAWIS: Una arquitectura de integración Web para el acceso a archivos digitales. - Santiago Eibe; Carmen Costilla; Ernestina Menasalvas Ruiz; César J. Acuña (JISBD, 2003)

Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation. - Víctor Robles; Pedro Larrañaga; Ernestina Menasalvas Ruiz; María S. Pérez 001; Vanessa Herves (Web Intelligence, 2003)

Expected Value of User Sessions: Limitations to the Non-Semantic Approach. - Ernestina Menasalvas Ruiz; B. Pardo; Socorro Millán; Esther Hochsztain; José M. Peña 002 (Web Intelligence, 2003)

Calculating economic indexes per household and censal section from official Spanish databases. - Sonia Frutos; Ernestina Menasalvas Ruiz; César Montes; Javier Segovia (Intell. Data Anal., 2003)

Intelligent Web Mining. - Ernestina Menasalvas; Oscar Marbán; Socorro Millán; José M. Peña 002 (Intelligent Exploration of the Web, 2003)

Using Markov Models to Define Proactive Action Plans for Users at Multi-viewpoint Websites. - Ernestina Menasalvas Ruiz; Socorro Millán; P. Gonzalez (Rough Sets and Current Trends in Computing, 2004)

A Report of Activities at the WIC-Spain Research Centre. - Pilar Herrero; María S. Pérez 001; Ernestina Menasalvas Ruiz; Javier Segovia (Web Intelligence, 2004)

Bayesian network multi-classifiers for protein secondary structure prediction. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; Ernestina Menasalvas Ruiz; María S. Pérez 001; Vanessa Herves; Anita Wasilewska (Artif. Intell. Medicine, 2004)

Subsessions: A granular approach to click path analysis. - Ernestina Menasalvas Ruiz; Socorro Millán; José M. Peña 002; Michael Hadjimichael; Oscar Marbán (Int. J. Intell. Syst., 2004)

Web Usage Mining Project for Improving Web-Based Learning Sites. - Marta E. Zorrilla; Ernestina Menasalvas Ruiz; D. Marín; Eduardo Mora; Javier Segovia (EUROCAST, 2005)

Data Web house to support Web intelligence in e-learning environments. - Marta E. Zorrilla; Socorro Millán; Ernestina Menasalvas Ruiz (GrC, 2005)

Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction. - Óscar Cubo; Víctor Robles; Javier Segovia; Ernestina Menasalvas Ruiz (IDA, 2005)

Financial Risk Prediction Using Rough Sets Tools: A Case Study. - Santiago Eibe; Raquel Del Saz; Covadonga Fernández 001; Oscar Marbán; Ernestina Menasalvas Ruiz; Concepción Pérez (RSFDGrC (2), 2005)

A Classification Model: Syntax and Semantics for Classification. - Anita Wasilewska; Ernestina Menasalvas Ruiz (RSFDGrC (2), 2005)

An Algorithm to Calculate the Expected Value of an Ongoing User Session. - Socorro Millán; Ernestina Menasalvas Ruiz; Michael Hadjimichael; Esther Hochsztain (Foundations of Data Mining and knowledge Discovery, 2005)

Data Mining as Generalization: A Formal Model. - Ernestina Menasalvas Ruiz; Anita Wasilewska (Foundations and Novel Approaches in Data Mining, 2006)

Towards User Context Enhance Search Engine Logs Mining. - Santiago Eibe; Maria Valencia; Ernestina Menasalvas Ruiz; Javier Segovia; Pedro A. C. Sousa (AWIC, 2007)

Constraint-Based Query Clustering. - Carlos Ruiz; Ernestina Menasalvas Ruiz; Myra Spiliopoulou (AWIC, 2007)

An Engineering Approach to Data Mining Projects. - Oscar Marbán; Gonzalo Mariscal; Ernestina Menasalvas Ruiz; Javier Segovia (IDEAL, 2007)

C-DBSCAN: Density-Based Clustering with Constraints. - Carlos Ruiz; Myra Spiliopoulou; Ernestina Menasalvas Ruiz (RSFDGrC, 2007)

A Model PM for Preprocessing and Data Mining Proper Process. - Anita Wasilewska; Ernestina Menasalvas Ruiz; Christelle Scharff (Trans. Rough Sets, 2007)

Research Challenges in Ubiquitous Knowledge Discovery. - Michael May 001; Bettina Berendt; Antoine Cornuéjols; João Gama 001; Fosca Giannotti; Andreas Hotho; Donato Malerba; Ernestina Menasalvas; Katharina Morik; Rasmus Ulslev Pedersen; Lorenza Saitta; Yücel Saygin; et al. (Next Generation of Data Mining, 2008)

A cost model to estimate the effort of data mining projects (DMCoMo). - Oscar Marbán; Ernestina Menasalvas Ruiz; María C. Fernández-Baizán (Inf. Syst., 2008)

Towards a Methodology for Data Mining Project Development: The Importance of Abstraction. - P. González-Aranda; Ernestina Menasalvas Ruiz; Socorro Millán; Carlos Ruiz; Javier Segovia (Data Mining: Foundations and Practice, 2008)

Data Preprocessing and Data Mining as Generalization. - Anita Wasilewska; Ernestina Menasalvas Ruiz (Data Mining: Foundations and Practice, 2008)

Automated Constraint Selection for Semi-supervised Clustering Algorithm. - Carlos Ruiz; Carlos G. Vallejo; Myra Spiliopoulou; Ernestina Menasalvas Ruiz (CAEPIA, 2009)

The Holistic, Interactive and Persuasive Model to Facilitate Self-care of Patients with Diabetes. - Miguel Vargas-Lombardo; Armando Jipsion; Rafael Vejarano; Ismael Camargo; Humberto Alvarez; Elena Villalba Mora; Ernestina Menasalva Ruiz (SCSS, 2009)

C-DenStream: Using Domain Knowledge on a Data Stream. - Carlos Ruiz; Ernestina Menasalvas Ruiz; Myra Spiliopoulou (Discovery Science, 2009)

Approach for Discovering and Tracking Local Web Search Trends. - Maria Valencia; Ernestina Menasalvas Ruiz; Santiago Eibe (LA-WEB/CLIHC, 2009)

Emerging User Intentions: Matching User Queries with Topic Evolution in News Text Streams. - Maria Valencia; Codrina Lauth; Ernestina Menasalvas Ruiz (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

Toward data mining engineering: A software engineering approach. - Oscar Marbán; Javier Segovia; Ernestina Menasalvas Ruiz; Covadonga Fernández-Baizán (Inf. Syst., 2009)

Segmentación de consultas de usuario en un dispositivo móvil: Un enfoque basado en frecuencias. - Maria Valencia; Santiago Eibe; Ernestina Menasalvas Ruiz (Rev. Avances en Sistemas Informática, 2009)

Proceso de Categorización de Consultas Basado en Visibilidad en un Dispositivo Móvil. - Maria Valencia; Santiago Eibe; Ernestina Menasalvas Ruiz (Rev. Colomb. de Computación, 2009)

Granular Model for Data Mining. - Anita Wasilewska; Ernestina Menasalvas Ruiz (Encyclopedia of Complexity and Systems Science, 2009)

A Holistic, Interactive and Persuasive Model to Facilitate Self-care of Patients with Diabetes in Latin America and the Caribbean. - Miguel Vargas-Lombardo; Armando Jipsion; Rafael Vejarano; Ismael Camargo; Humberto Alvarez; Elena Villalba Mora; Ernestina Menasalva Ruiz (BIOCOMP, 2010)

Implementation a Holistic Model, Interactive and Persuasive to Facilitate Self-Care of Patients with Diabetes (hIPAPD). - Miguel Vargas-Lombardo; Armando Jipsion; Rafael Vejarano; Ismael Camargo; Humberto Alvarez; Elena Villalba Mora; Ernestina Menasalva Ruiz (eTELEMED, 2010)

Bayesian Networks to Predict Data Mining Algorithm Behavior in Ubiquitous Computing Environments. - Aysegul Cayci; Santiago Eibe; Ernestina Menasalvas Ruiz; Yücel Saygin (MSM/MUSE, 2010)

CALDS: context-aware learning from data streams. - João Bártolo Gomes; Ernestina Menasalvas; Pedro A. C. Sousa (StreamKDD@KDD, 2010)

Situation-Aware Data Stream Mining Service for Ubiquitous Applications. - João Bártolo Gomes; Ernestina Menasalvas Ruiz; Pedro A. C. Sousa (Mobile Data Management, 2010)

Adapting Batch Learning Algorithms Execution in Ubiquitous Devices. - Andrea Zanda; Santiago Eibe; Ernestina Menasalvas Ruiz (Mobile Data Management, 2010)

Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts. - João Bártolo Gomes; Ernestina Menasalvas Ruiz; Pedro A. C. Sousa (RSKT, 2010)

Autonomous Adaptive Data Mining for u-Healthcare. - Andrea Zanda; Santiago Eibe; Ernestina Menasalvas Ruiz (RSKT, 2010)

Density-based semi-supervised clustering. - Carlos Ruiz; Myra Spiliopoulou; Ernestina Menasalvas Ruiz (Data Min. Knowl. Discov., 2010)

A Human-Centric Perspective on Ubiquitous Knowledge Discovery. - Bettina Berendt; Ernestina Menasalvas (Ubiquitous Knowledge Discovery, 2010)

Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. - João Bártolo Gomes; Mohamed Medhat Gaber; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (IDA, 2011)

A social network activity recommender system for ubiquitous devices. - Andrea Zanda; Ernestina Menasalvas Ruiz; Santiago Eibe (ISDA, 2011)

Learning recurring concepts from data streams with a context-aware ensemble. - João Bártolo Gomes; Ernestina Menasalvas Ruiz; Pedro A. C. Sousa (SAC, 2011)

Mobile Activity Recognition Using Ubiquitous Data Stream Mining. - João Bártolo Gomes; Shonali Krishnaswamy; Mohamed Medhat Gaber; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (DaWaK, 2012)

Framework for the Establishment of Resource-Aware Data Mining Techniques on Critical Infrastructures. - Miguel Ángel Abad; Ernestina Menasalvas Ruiz (IPMU (2), 2012)

MARS: A Personalised Mobile Activity Recognition System. - João Bártolo Gomes; Shonali Krishnaswamy; Mohamed Medhat Gaber; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (MDM, 2012)

Dynamic Clustering Process to Calculate Affinity Degree of Users as Basis of a Social Network Recommender. - Andrea Zanda; Ernestina Menasalvas Ruiz; Santiago Eibe (WISE Workshops, 2012)

A management Ad Hoc networks model for rescue and emergency scenarios. - Rommel Torres Tandazo; Luis Mengual; Oscar Marbán; Santiago Eibe; Ernestina Menasalvas Ruiz; Byron Maza (Expert Syst. Appl., 2012)

SOMAR: A SOcial Mobile Activity Recommender. - Andrea Zanda; Santiago Eibe; Ernestina Menasalvas Ruiz (Expert Syst. Appl., 2012)

Tracking recurrent concepts using context. - João Bártolo Gomes; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (Intell. Data Anal., 2012)

Technologies to Better Serve the Millions of Diabetic Patients: A Holistic, Interactive and Persuasive ICT Model to Facilitate Self Care, in Extremely Poor Rural Zones of Central America. - Miguel Vargas-Lombardo; Armando Jipsion; Rafael Vejarano; Ismael Camargo; Humberto Alvarez; Elena Villalba Mora; Ernestina Menasalva Ruiz (J. Medical Syst., 2012)

Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy. - Massimiliano Zanin; Ernestina Menasalvas Ruiz; Pedro A. C. Sousa; Stefano Boccaletti (Networks Heterog. Media, 2012)

Soft computing for content generation: Trading market in a basketball management video game. - José María Peña Sánchez; Ernestina Menasalvas Ruiz; Santiago Muelas; Antonio LaTorre; Luís Peña; Sascha Ossowski (CIG, 2013)

Multi-agent location system in wireless networks. - Luis Mengual; Oscar Marbán; Santiago Eibe; Ernestina Menasalvas Ruiz (Expert Syst. Appl., 2013)

Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection. - João Bártolo Gomes; Mohamed Medhat Gaber; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (Int. J. Inf. Technol. Decis. Mak., 2013)

Self-configuring data mining for ubiquitous computing. - Aysegul Cayci; Ernestina Menasalvas Ruiz; Yücel Saygin; Santiago Eibe (Inf. Sci., 2013)

Text Analysis and Information Extraction from Spanish Written Documents. - Roberto Costumero; Angel García-Pedrero; Consuelo Gonzalo-Martín; Ernestina Menasalvas; Socorro Millán (Brain Informatics and Health, 2014)

An Approach to Detect Negation on Medical Documents in Spanish. - Roberto Costumero; Federico López 001; Consuelo Gonzalo-Martín; Marta Millán; Ernestina Menasalvas (Brain Informatics and Health, 2014)

Recurring concept detection for spam filtering. - Miguel Ángel Abad; João Bártolo Gomes; Ernestina Menasalvas Ruiz (FUSION, 2014)

Analysis of Complex Data by Means of Complex Networks. - Massimiliano Zanin; Ernestina Menasalvas Ruiz; Stefano Boccaletti; Pedro A. C. Sousa (DoCEIS, 2014)

TIDA: A Spanish EHR Semantic Search Engine. - Roberto Costumero; Consuelo Gonzalo-Martín; Ernestina Menasalvas (PACBB, 2014)

Optimal Scale in a Hierarchical Segmentation Method for Satellite Images. - David Fonseca-Luengo; Angel García-Pedrero; Mario Lillo-Saavedra; Roberto Costumero; Ernestina Menasalvas; Consuelo Gonzalo-Martín (RSEISP, 2014)

3D Dendrite Spine Detection - A Supervoxel Based Approach. - César Antonio Ortiz; Consuelo Gonzalo-Martín; José María Peña Sánchez; Ernestina Menasalvas (RSEISP, 2014)

Histogram of Bunched Intensity Values Based Thermal Face Recognition. - Ayan Seal; Debotosh Bhattacharjee; Mita Nasipuri; Consuelo Gonzalo-Martín; Ernestina Menasalvas (RSEISP, 2014)

Information content: beyond modularity in complex networks. - Massimiliano Zanin; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (CoRR, 2014)

A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality. - Antonio Gracia Berná; Santiago González; Victor Robles; Ernestina Menasalvas Ruiz (Inf. Sci., 2014)

Intelligent Therapy Assistant (ITA) for cognitive rehabilitation in patients with acquired brain injury. - Javier Solana; César Cáceres; Alberto García-Molina; Paloma Chausa; Eloy Opisso; Teresa Roig-Rovira; Ernestina Menasalvas; Josep María Tormos Muñoz; Enrique J. Gómez (BMC Medical Informatics Decis. Mak., 2014)

Mining Recurring Concepts in a Dynamic Feature Space. - João Bártolo Gomes; Mohamed Medhat Gaber; Pedro A. C. Sousa; Ernestina Menasalvas Ruiz (IEEE Trans. Neural Networks Learn. Syst., 2014)

Recurrent drifts: Aapplying fuzzy logic to concept similarity function. - Miguel Ángel Abad; Ernestina Menasalvas (FedCSIS, 2015)

Medical Mining: KDD 2015 Tutorial. - Myra Spiliopoulou; Pedro Pereira Rodrigues; Ernestina Menasalvas Ruiz (KDD, 2015)

Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases. - Alejandro Rodríguez González; Marcos Martínez Romero; Roberto Costumero; Mark D. Wilkinson; Ernestina Menasalvas Ruiz (PACBB, 2015)

Erratum to: Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases. - Alejandro Rodríguez González; Marcos Martínez Romero; Roberto Costumero; Mark D. Wilkinson; Ernestina Menasalvas Ruiz (PACBB, 2015)

Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation. - César Antonio Ortiz Toro; Consuelo Gonzalo-Martín; Angel García-Pedrero; Ernestina Menasalvas Ruiz (Remote. Sens., 2015)

Clinical Narrative Analytics Challenges. - Ernestina Menasalvas; Alejandro Rodríguez González; Roberto Costumero; Hector Ambit; Consuelo Gonzalo (IJCRS, 2016)

Automatic extraction and identification of users' responses in Facebook medical quizzes. - Alejandro Rodríguez González; Ernestina Menasalvas Ruiz; Miguel Angel Mayer (Comput. Methods Programs Biomed., 2016)

Combining complex networks and data mining: why and how. - Massimiliano Zanin; David Papo; Pedro A. C. Sousa; Ernestina Menasalvas; Andrea Nicchi; Elaine Kubik; Stefano Boccaletti (CoRR, 2016)

Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function. - Miguel Ángel Abad; João Bártolo Gomes; Ernestina Menasalvas (Expert Syst. Appl., 2016)

New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification. - Antonio Gracia Berná; Santiago González; Víctor Robles; Ernestina Menasalvas Ruiz; Tatiana von Landesberger (Inf. Vis., 2016)

Local optimal scale in a hierarchical segmentation method for satellite images - An OBIA approach for the agricultural landscape. - Consuelo Gonzalo-Martín; Mario Lillo-Saavedra; Ernestina Menasalvas; David Fonseca-Luengo; Angel García-Pedrero; Roberto Costumero (J. Intell. Inf. Syst., 2016)

Challenges of Medical Text and Image Processing: Machine Learning Approaches. - Ernestina Menasalvas; Consuelo Gonzalo-Martín (Machine Learning for Health Informatics, 2016)

OncoCall: Analyzing the Outcomes of the Oncology Telephone Patient Assistance. - Ernestina Menasalvas Ruiz; Consuelo Gonzalo; Juan Manuel Tuñas; Alejandro Rodríguez González; Mariano Provencio; Cristina Gonzalez de Pedro; Marta Mendez; Olga Zaretskaia; Juan Luis Cruz; Jesús Rey; Consuelo Parejo (CBMS, 2017)

Automatic Recording and Analysis of Somniloquy Through the Use of Mobile Devices to Support the Diagnosis of Psychological Pathologies. - Virginia Aparicio-Paniagua; Jorge Pérez-Muñoz; Alejandro Rodríguez González; Angel García-Pedrero; Juan Miguel Gómez-Berbís; Consuelo Gonzalo-Martín; Ernestina Menasalvas Ruiz; Giner Alor-Hernández (CITI, 2017)

Mitosis Detection in Breast Cancer Using Superpixels and Ensemble Classifiers. - César Antonio Ortiz Toro; Consuelo Gonzalo-Martín; Angel García-Pedrero; Alejandro Rodríguez González; Ernestina Menasalvas (PACBB, 2017)

Fusion of Visible and Thermal Images Using a Directed Search Method for Face Recognition. - Ayan Seal; Debotosh Bhattacharjee; Mita Nasipuri; Consuelo Gonzalo-Martín; Ernestina Menasalvas (Int. J. Pattern Recognit. Artif. Intell., 2017)

Daily Evapotranspiration Mapping Using Regression Random Forest Models. - Consuelo Gonzalo-Martín; Mario Lillo-Saavedra; Angel García-Pedrero; Octavio Lagos; Ernestina Menasalvas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Evaluating Wikipedia as a Source of Information for Disease Understanding. - Eduardo P. García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González (CBMS, 2018)

Lung Cancer Concept Annotation from Spanish Clinical Narratives. - Marjan Najafabadipour; Juan Manuel Tuñas; Alejandro Rodríguez González; Ernestina Menasalvas (DILS, 2018)

Mining Electronic Health Records: Challenges and Impact. - Alejandro Rodríguez González; Consuelo Gonzalo; Ernestina Menasalvas (SITIS, 2018)

From the Difference of Structures to the Structure of the Difference. - Massimiliano Zanin; Ernestina Menasalvas; Xiaoqian Sun; Sebastian Wandelt (Complex., 2018)

IASIS and BigMedilytics: Towards personalized medicine in Europe. - Ernestina Menasalvas Ruiz; Alejandro Rodríguez González; Consuelo Gonzalo-Martín; Massimiliano Zanin; Juan Manuel Tuñas; Mariano Provencio; Maria Torrente; Fabio Franco; Virginia Calvo; Beatriz Nuñez (CoRR, 2018)

Assessing Time Series Reversibility through Permutation Patterns. - Massimiliano Zanin; Alejandro Rodríguez González; Ernestina Menasalvas Ruiz; David Papo (Entropy, 2018)

À-trous wavelet transform-based hybrid image fusion for face recognition using region classifiers. - Ayan Seal; Debotosh Bhattacharjee; Mita Nasipuri; Consuelo Gonzalo-Martín; Ernestina Menasalvas (Expert Syst. J. Knowl. Eng., 2018)

Profiling Lung Cancer Patients Using Electronic Health Records. - Ernestina Menasalvas Ruiz; Juan Manuel Tuñas; Guzmán Bermejo; Consuelo Gonzalo-Martín; Alejandro Rodríguez González; Massimiliano Zanin; Cristina Gonzalez de Pedro; Marta Mendez; Olga Zaretskaia; Jesús Rey; Consuelo Parejo; Juan Luis Cruz-Bermúdez; et al. (J. Medical Syst., 2018)

Indoor Temperature Prediction in an IoT Scenario. - Pedro Lima-Monteiro; Massimiliano Zanin; Ernestina Menasalvas Ruiz; João Paulo Pimentão; Pedro Alexandre da Costa Sousa (Sensors, 2018)

Supervoxels-Based Histon as a New Alzheimer's Disease Imaging Biomarker. - César Antonio Ortiz; Consuelo Gonzalo-Martín; Angel García-Pedrero; Ernestina Menasalvas Ruiz (Sensors, 2018)

Data Science in Healthcare: Benefits, Challenges and Opportunities. - Ziawasch Abedjan; Nozha Boujemaa; Stuart Campbell 002; Patricia Casla; Supriyo Chatterjea; Sergio Consoli; Cristóbal Costa Soria; Paul Czech; Marija Despenic; Chiara Garattini; Dirk Hamelinck; Adrienne Heinrich; et al. (Data Science for Healthcare, 2019)

Wikipedia Disease Articles: An Analysis of their Content and Evolution. - Gerardo Lagunes García; Lucía Prieto Santamaría; Eduardo P. García del Valle; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González (CBMS, 2019)

iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. - Anastasia Krithara; Fotis Aisopos; Vassiliki Rentoumi; Anastasios Nentidis; Konstantinos Bougiatiotis; Maria-Esther Vidal; Ernestina Menasalvas; Alejandro Rodríguez González; Eleftherios Samaras; Peter Garrard; Maria Torrente; Mariano Provencio Pulla; et al. (CBMS, 2019)

Recognition of Time Expressions in Spanish Electronic Health Records. - Marjan Najafabadipour; Massimiliano Zanin; Alejandro Rodríguez González; Consuelo Gonzalo-Martín; Beatriz Nuñez García; Virginia Calvo; Juan Luis Cruz-Bermúdez; Mariano Provencio; Ernestina Menasalvas (CBMS, 2019)

Radiomics Textural Features Extracted from Subcortical Structures of Grey Matter Probability for Alzheimers Disease Detection. - César Antonio Ortiz Toro; Nuria Gutiérrez Sánchez; Consuelo Gonzalo-Martín; Roberto Garrido García; Alejandro Rodríguez González; Ernestina Menasalvas Ruiz (CBMS, 2019)

Completing Missing MeSH Code Mappings in UMLS Through Alternative Expert-Curated Sources. - Eduardo P. García del Valle; Gerardo Lagunes García; Ernestina Menasalvas Ruiz; Lucía Prieto Santamaría; Massimiliano Zanin; Alejandro Rodríguez González (CBMS, 2019)

Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products. - Ana Correia; Christian Wolff 002; Massimiliano Zanin; Ernestina Menasalvas; Elisa A. Herrmann; Victor Corral; Miriam Kachelmann; Rance DeLong; Pavel Smrz (CPSS@IOT, 2019)

A Proposal for Recognizing Skills in Data Science Using Open Badges. - Ernestina Menasalvas; Ana María Moreno 001; Nik Swoboda (ITiCSE, 2019)

Analysis of Electronic Health Records to Identify the Patient's Treatment Lines: Challenges and Opportunities. - Marjan Najafabadipour; Juan Manuel Tuñas; Alejandro Rodríguez González; Ernestina Menasalvas (SGAI Conf., 2019)

Introduction to the special issue on social data analytics in medicine and healthcare. - Alejandro Rodríguez González; Athena Vakali; Miguel Angel Mayer; Takashi Okumura; Ernestina Menasalvas Ruiz; Myra Spiliopoulou (Int. J. Data Sci. Anal., 2019)

Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources. - Eduardo P. García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González (J. Biomed. Informatics, 2019)

Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome. - Andreas Philipp Hassler; Ernestina Menasalvas; Francisco Jose Garcia-Garcia; Leocadio Rodríguez-Mañas; Andreas Holzinger (BMC Medical Informatics Decis. Mak., 2019)

Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. - Alejandro Rodríguez González; Juan Manuel Tuñas; Diego Fernandez Peces-Barba; Ernestina Menasalvas Ruiz; Almudena Jaramillo; Manuel Cotarelo; Antonio Conejo; Amalia Arce; Angel Gil (CBMS, 2020)

Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. - Oswaldo Solarte Pabón; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas; Juan Manuel Tuñas (CBMS, 2020)

Analysis of New Nosological Models from Disease Similarities using Clustering. - Lucía Prieto Santamaría; Eduardo P. García del Valle; Gerardo Lagunes García; Massimiliano Zanin; Alejandro Rodríguez González; Ernestina Menasalvas Ruiz; Yuliana Pérez-Gallardo; Gandhi Hernández-Chan (CBMS, 2020)

A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. - Manuel Scurti; Ernestina Menasalvas Ruiz; Maria-Esther Vidal; Maria Torrente; Dimitrios Vogiatzis; George Paliouras; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2020)

Spa-neg: An Approach for Negation Detection in Clinical Text Written in Spanish. - Oswaldo Solarte Pabón; Ernestina Menasalvas; Alejandro Rodríguez González (IWBBIO, 2020)

Developing a Data Analytics Toolbox to Support CPS-based Services. - Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González; Christian Wolff 002; Juana Wendt; Elisa A. Herrmann; Pavel Smrz (MECO, 2020)

An Analytics Toolbox for Cyber-Physical Systems Data Analysis: Requirements and Challenges. - Massimiliano Zanin; Ernestina Menasalvas; Alejandro Rodríguez González; Pavel Smrz (MIPRO, 2020)

Reconstructing the patient's natural history from electronic health records. - Marjan Najafabadipour; Massimiliano Zanin; Alejandro Rodríguez González; Maria Torrente; Beatriz Nuñez García; Juan Luis Cruz-Bermúdez; Mariano Provencio; Ernestina Menasalvas (Artif. Intell. Medicine, 2020)

How Wikipedia disease information evolve over time? An analysis of disease-based articles changes. - Gerardo Lagunes García; Alejandro Rodríguez González; Lucía Prieto Santamaría; Eduardo P. García del Valle; Massimiliano Zanin; Ernestina Menasalvas Ruiz (Inf. Process. Manag., 2020)

Multi-scale RoIs selection for classifying multi-spectral images. - Ayan Seal; Angel García-Pedrero; Debotosh Bhattacharjee; Mita Nasipuri; Mario Lillo-Saavedra; Ernestina Menasalvas; Consuelo Gonzalo-Martín (Multidimens. Syst. Signal Process., 2020)

A Meta-Path-Based Prediction Method for Disease Comorbidities. - Eduardo P. García del Valle; Lucía Prieto Santamaría; Gerardo Lagunes García; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González (CBMS, 2021)

Information Extraction from Spanish Radiology Reports using multilingual BERT. - Oswaldo Solarte Pabón; Orlando Montenegro; Alberto Blázquez-Herranz; Hadi Saputro; Alejandro Rodríguez González; Ernestina Menasalvas (CLEF (Working Notes), 2021)

Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. - Oswaldo Solarte Pabón; Alberto Blázquez-Herranz; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas (DSAA, 2021)

Towards Treatment Patterns Validation in Lung Cancer Patients. - Arturo Redondo; Belén Ríos-Sánchez; Guillermo Vigueras; Belén Otero; Roberto Hernández López; Maria Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (DSAA, 2021)

Normal tissue content impact on the GBM molecular classification. - Rodrigo Madurga; Noemí García-Romero; Beatriz Jiménez; Ana Collazo; Francisco Pérez-Rodríguez; Aurelio Hernández-Laín; Carlos Fernández-Carballal; Ricardo Prat-Acín; Massimiliano Zanin; Ernestina Menasalvas; Ángel Ayuso-Sacido (Briefings Bioinform., 2021)

DisMaNET: A network-based tool to cross map disease vocabularies. - Eduardo P. García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González (Comput. Methods Programs Biomed., 2021)

Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. - Daniel Gómez-Bravo; Aaron García; Guillermo Vigueras; Belén Ríos-Sánchez; Belén Otero; Roberto Hernández López; María Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2022)

REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data. - Adrián Ayuso Muñoz; Esther Ugarte Carro; Lucía Prieto Santamaría; Belén Otero-Carrasco; Ernestina Menasalvas Ruiz; Yuliana Pérez-Gallardo; Alejandro Rodríguez González (CBMS, 2022)

Drug repositioning with gender perspective focused on Adverse Drug Reactions. - Belén Otero-Carrasco; Aurora Pérez-Pérez; Ernestina Menasalvas Ruiz; Juan Pedro Caraça-Valente Hernández; Lucía Prieto Santamaría; Alejandro Rodríguez González (CBMS, 2022)

Deep learning to extract Breast Cancer diagnosis concepts. - Oswaldo Solarte Pabón; Maria Torrente; Alvaro Garcia-Barragán; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2022)

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. - Adrianna Janik; Maria Torrente; Luca Costabello; Virginia Calvo; Brian Walsh; Carlos Camps; Sameh K. Mohamed; Ana L. Ortega; Vít Novácek; Bartomeu Massutí; Pasquale Minervini; M. Rosario Garcia Campelo; et al. (CoRR, 2022)

A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool. - Antonio Jesús Díaz-Honrubia; Alberto Blázquez-Herranz; Lucía Prieto Santamaría; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González; Gustavo Gonzalez Granadillo; Rodrigo Diaz; Emmanouil Panaousis; Christos Xenakis (J. Inf. Secur. Appl., 2022)

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. - Oswaldo Solarte Pabón; Orlando Montenegro; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas (PeerJ Comput. Sci., 2022)

Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. - Alvaro Garcia-Barragán; Oswaldo Solarte Pabón; Georgiy Nedostup; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2023)

Clustering-based Pattern Discovery in Lung Cancer Treatments. - Daniel Gómez-Bravo; Aaron García; Guillermo Vigueras; Belén Ríos-Sánchez; Alejandra Pérez-García; Vanessa Ospina; María Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2023)

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout. - Leonardo Cañete-Sifuentes; Victor Robles; Ernestina Menasalvas; Raúl Monroy Borja (IEEE Access, 2023)

Knowledge graphs for enhancing transparency in health data ecosystems. - Fotis Aisopos; Samaneh Jozashoori; Emetis Niazmand; Disha Purohit; Ariam Rivas; Ahmad Sakor; Enrique Iglesias; Dimitrios Vogiatzis; Ernestina Menasalvas; Alejandro Rodríguez González; Guillermo Vigueras; Daniel Gómez-Bravo; et al. (Semantic Web, 2023)

Transformers for extracting breast cancer information from Spanish clinical narratives. - Oswaldo Solarte Pabón; Orlando Montenegro; Alvaro Garcia-Barragán; Maria Torrente; Mariano Provencio; Ernestina Menasalvas; Víctor Robles (Artif. Intell. Medicine, 2023)

Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. - Esteban Ricardo Salazar Cabrera; Alejandro Santos-Díaz; Ernestina Menasalvas; José Gerardo Tamez-Peña; Victor Robles (CBMS, 2024)

Step-forward structuring disease phenotypic entities with LLMs for disease understanding. - Alvaro Garcia-Barragán; Alberto González Calatayud; Lucía Prieto Santamaría; Víctor Robles; Ernestina Menasalvas; Alejandro Rodríguez (CBMS, 2024)

From Web to RheumaLpack: Creating a Linguistic Corpus for Exploitation and Knowledge Discovery in Rheumatology. - Alfredo Madrid-García; Beatriz Merino-Barbancho; Dalifer Freites-Núñez; Luis Rodríguez-Rodríguez; Ernestina Menasalvas Ruiz; Alejandro Rodríguez González; Anselmo Peñas (Comput. Biol. Medicine, 2024)

PALADIN: A process-based constraint language for data validation. - Antonio Jesús Díaz-Honrubia; Philipp D. Rohde; Emetis Niazmand; Ernestina Menasalvas; Maria-Esther Vidal (Inf. Fusion, 2024)

ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM. - Alejandro Rodríguez González; Victor Robles; Juan José Cubillas Mercado; Juan Manuel Martínez Pérez; Jose Luis González Mendez; Ernestina Menasalvas Ruiz (CBMS, 2025)

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography. - Yusdivia Molina-Román; David Gómez-Ortiz; Ernestina Menasalvas Ruiz; José Gerardo Tamez-Peña; Alejandro Santos-Díaz (CBMS, 2025)

NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes. - Alvaro Garcia-Barragán; Ahmad Sakor; Maria-Esther Vidal; Ernestina Menasalvas; Juan Cristobal Sanchez Gonzalez; Mariano Provencio; Víctor Robles (Medical Biol. Eng. Comput., 2025)